The overview of data availability for Torino Process 2012

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					Belgrade 6 December- The Overview of
Data Availability:
WB & Turkey
                                WHAT IS THE ETF?
Agency of the European Union

§Vision
To make vocational education and training in the partner countries a driver for 
lifelong learning and sustainable development, with a special focus on 
competitiveness and social cohesion.

§Mission
To help transition and developing countries to harness the potential of their 
human capital through the reform of education, training and labour market 
systems in the context of the EU’s external relations policy.
                          Potential candidate
                          countries:
                          Albania, Bosnia and
                          Herzegovina, Kosovo
                          (UNSCR 1244/1999),
                          Serbia


European Neighbourhood and
Partnership Instrument countries
ENP South:
Algeria, Egypt, Jordan, Lebanon,
Libya, Morocco, Occupied
Palestinian Territory, Syria, Tunisia
and Israel
ENP East:
Armenia, Azerbaijan, Belarus,
Georgia, Republic of Moldova,
Ukraine and Russia
STRUCTURE
1.The assessment of data availability for
  Torino Process 2010

2.Data availability for Torino Process 2012
 (the assessment of countries’ feedbacks)


3. Conclusion
Torino Process Key Indicator Manual-
What’s this manual about?
                             Practical guide:
     It provides tools & ideas on how to use indicators in a national
                          policy-making context

  Starting point:
  -What are our policy objectives?
  -How can our policy objectives be converted into indicators?

      vthe analytical process: 
          definition, calculation and analysis of indicators

      vcharacteristics of indicators
       5 levels of breakdown

      vpresentation tools and consistency of results

      vpossible sources
                                   EU developments
Strategy: Europe 2020 (“smart, sustainable and inclusive Europe”) 
and Integrated Guidelines for the economic and employment policies 
of Member States
§Guidelines 7-10: increasing labour market participation and reducing 
structural unemployment; skilled workforce, job quality and LLL; 
improving performance of education and training systems; promoting 
social inclusion and reducing poverty 
§April 2012 Employment Package
§Education and Training 2020
§New financing instruments 2014-2020: 'Education Europe‘ - 
integrated programme of €15.2 billion for education, training and 
youth with focus on skills and mobility; ‘Creative Europe’ €1.6 billion
§European Social Fund à IPA Comp. IV HRD for candidate countries

                                                                     6
                                                         Western Balkans and Turkey and
                                                         EU benchmarks on education

                                                          EU 2020 
                   2011                     EU 27                           AL        BH         ME         RS        HR         MK      TR
                                                         objectives
Early school leavers – 
                                                                                              15.5 (m)
% of 18-24 with at most lower                                               39        65.1                            4.1     
                                             13.5           10%                                9.2 (f)      8.5                  13.5    41.9
secondary education and not in further                                     (08)       (07)                            (u)
                                                                                                (09)
education or training
Tertiary educational attainment – 
% of 30-34 who have successfully                                           17.2
                                             34.6           40%                                                       24.5       20.4    16.3
completed university or university-like                                    (08)
education
Lifelong learning - 
                                                                            2.0
% of 25-64 participating in education         8.9           15%                                  0.1        4.3       2.3        3.4     2.9
                                                                           (09)
and training
Four-year-olds in education - 
                                             90.8       at least 95%       52.7       12.2      30.9       52.3       57.0       24.0    16.5
Participation rate (%) - (2010)

% of pupils with low performance in the 
                                            19.6 (1)   less than 15%       56.6                 49.5       32.9       22.5               24.5
reading scale (Level 1 or below) - (2009)



       Sources
       Early school leavers - EU27, RS, HR, MK, and TR: Eurostat; AL: LFS; BH: UNDP, "National Human Development Report 2007"; ME:
       UNDP, "National Human Development Report 2009"
       Tertiary educational attainment (30-34) - EU27, HR, MK, and TR: Eurostat; AL: LFS.
       Lifelong learning - EU27, HR, MK, and TR: Eurostat; AL, ME and RS: LFS
       Four-year-olds in education - EU27, HR, MK, and TR: Eurostat; AL, ME and RS: UNESCO
       Pupils' performance in reading: OECD, "PISA 2009 Results":; EU average refers to the 25 EU countries participating to PISA 2009
                                                                       Western Balkans and Turkey and
                                                                       EU benchmarks on education
                                                            EU 2020          AL                      KS*
                                2011               EU 27                                 BH                        ME         RS         HR        MK         TR
                                                           objectives       2009                     2009
                      Employment rate                                                   44.9                      54.4 
                                                    68.2       75%           60.4                                             49.3       57       48.4       52.2
                       (20-64)                                                        (25-64)                   (25-64)
                      Employment rate 
                                                    64.3                    53.4        38.7         26.1         45.9        45.4      52.4      43.9       48.4
                      (15-64) 
                      Female 
                      employment rate               58.5                    43.6        28.7         12.5         40.7        38.3      47.0      35.3       27.8
                      (15-64)  
                      Employment rate of 
                                                                                        33.6
                      older workers (55-            47.4                    48.9                     27.9         35.6        31.4      37.1      35.4       31.4
                                                                                      (50-64)
                      64)
                      Employment in 
                                                                                                                   10.9 
                      agriculture (% of             4.6                     44.1        19.6          6.2                     18.5      12.9      18.1       22.8
                                                                                                                  (15+)
                      total) (1)  
                      Unemployment rate                                                              45.4
                                                    9.6                     13.8        27.6                      19.7        23.0      13.5      31.4        8.8
                      (15+)                                                                        (15-64)
                      Female 
                                                                                                     56.4
                      unemployment rate             9.6                     15.9        39.9                      20.0        23.7      13.2      30.8       10.1
                                                                                                   (15-64)
                      (15+)  
                      Youth 
                      unemployment rate             21.3                    27.2        57.9         73.0         37.1        42.4      36.1      55.3       16.7
                      (15-24)
                      Unemployment rate 
                                                                                        18.6
                      of the elder                  6.8                      7.7                     25.9         12.1        18.9       8.5      28.2        4.3
                                                                                      (50-64)
                      workforce (55-64)  
                      Total long-term 
                      unemployment rate             4.1                      9.1        22.3         36.8         15.7       16.9(3)     8.6      25.9        2.1
                      (%) (2) 
Sources:
EU-27, Croatia, Macedonia and Turkey: Eurostat Databases; Albania, Bosnia, Kosovo, Montenegro and Serbia: LFS publications
Notes:
(1) Agriculture, forestry and fishing (age group 15-64)
(2) Long-term unemployed (12 months and more) as a percentage of the total active population (15+); KS estimated on LFS data; Source for AL: National Institute of Statistics
(3) ETF estimation on LFS data
*Data coming from EC Progress Reports May 2012
               Which sources do we refer to?
Sources for educational, demographic and financial data: 

   v Surveys
   v Censuses
   v Administrative databases
   v Reports 

These data may come from:

   v Ministry of Education
   v Ministry of Finance
         9
   v National Statistical Offices
   v International Sources
      State of the art

Details of the coverage of the data collected for 
the  Torino  Process  key  indicators  2010  and 
2012

Overview  of  problems  and  recommendations 
regarding  data  availability,  classification 
multiplicity, and regional diversities 
    10
DATA COLLECTION – TORINO PROCESS 
2010 


          Extended list of indicators
                      ↓
  ETF gathered the data in the following order:

1. International sources (UNESCO, World Bank,…)
2. National (publicly available) sources (LFS,
  educational data,…)
3. Requests to countries
DATA COLLECTION – TORINO PROCESS 
2010 
3 groups of indicators:

•   Data on labour market performance (incl.
    administrative data from public employment
    services)

•   Education data (with special focus on VET)

•   Socio-economic data and international indexes
DATA COLLECTION – TORINO PROCESS 
2010 


We can distinguish between 3 levels of precision:

•   Exact indicators
•   Partial indicators
•   Proxy indicators
      Table 1. Coverage of indicators in WB&T – LABOUR MARKET

Indicator                      By                    AL       BA       HR      XK* MK           ME RS   TR

                               Gender

                               Age
    ACTIVITY RATE
                               Education

                               Gender

                               Age
 EMPLOYMENT RATE
                               Education

                               Gender

   UNEMPLOYMENT                Age
       RATE
                               Education

Green =  indicator available; Yellow = proxy/partial indicator available; Red = missing data.
Table 2. Coverage of indicators in WB&T – PUBLIC EMPLOYMENT SERVICES


 Indicator                     By                     AL      BA       HR       XK* MK           ME RS   TR

 EXPENDITURE ON ALMPs as % of GDP

    % of REGISTERED UNEMPLOYED 
          COVERED BY ALMPs
                               Gender
     REGISTERED 
                               Age
     UNEMPLOYED 
     POPULATION
                               Education


       NUMBER OF STAFF IN PESs

         NUMBER OF VACANCIES

 Green =  indicator available; Yellow = proxy/partial indicator available; Red = missing data.
Table 3. Coverage of indicators in WB&T – EDUCATION: ATTAINMENT AND 
ENROLMENT

      Indicator                        By             AL       BA       HR       XK* MK         ME RS   TR
                               Gender and Age

    EDUCATIONAL                   Rural/Urban 
     ATTAINMENT                    settlement
                               Income groups

   LITERACY RATE               Gender

                               Educational level
  PARTICIPATION IN 
LIFELONG LEARNING              Gender

 N. OF STUDENTS/PUPILS ENROLLED 
      BY EDUCATIONAL LEVEL, 
     PROGRAMME AND GENDER
 PRIVATE EDUCATION AS % OF TOTAL 
BY EDUCATIONAL LEVEL/PROGRAMME
                           Educational level 
     GROSS                 and gender
   ENROLMENT 
     RATES                 Educational 
                           programme
Green =  indicator available; Yellow = proxy/partial indicator available; Red = missing data.
Table 3. Coverage of indicators in WB&T – EDUCATION: ATTAINMENT AND 
ENROLMENT

                  Indicator                           AL      BA       HR       XK* MK          ME RS   TR

 PARTICIPATION IN VET IN % BY FIELD 
             OF STUDY
    % OF APPRENTICES IN THE VET 
      SYSTEM BY GENDER AND 
        EDUCATIONAL LEVEL
     DROP-OUT RATES IN UPPER 
 SECONDARY BY PROGRAMME AND BY 
            GENDER
     GROSS COMPLETION RATE BY 
      EDUCATIONAL LEVEL AND 
           PROGRAMME
 % OF VET PUPILS WHO CONTINUE TO 
   HIGHER LEVELS OF EDUCATION
    GRADUATES IN MATHEMATICS, 
 SCIENCE AND TECHNOLOGY AS % OF 
        TOTAL GRADUATES
Green =  indicator available; Yellow = proxy/partial indicator available; Red = missing data.
Table 4. Coverage of indicators in WB&T – EDUCATION: EXPENDITURE AND 
TEACHERS

Indicator                   As                        AL       BA       HR       XK* MK         ME RS   TR

                            % of GDP
     PUBLIC 
 EXPENDITURE                % of Public 
 ON EDUCATION               Expenditure
BY EDUCATIONAL 
     LEVEL                  % of Total 
AND PROGRAMME               educational 
                            expenditure
 COST FOR PUPIL BY PROGRAMME IN 
            ISCED 3
     STUDENT/TEACHER RATIOS BY 
       EDUCATIONAL LEVEL AND 
           PROGRAMME 
  SHARE OF TEACHERS IN TEACHER 
 TRAINING PER YEAR BY GENDER (%)
      TEACHER SALARIES AS % OF 
           AVERAGE WAGE
Green =  indicator available; Yellow = proxy/partial indicator available; Red = missing data.
 Table 5. Coverage of indicators in WB&T – SOCIOECONOMIC CONTEXT


                  Indicator                           AL      BA       HR       XK* MK          ME RS   TR

    GDP BY ECONOMIC SECTOR (%)

          GDP PER CAPITA in PPP

         DEPENDENCY RATES (%)

      MEAN SCORE OF STUDENT 
   PERFORMANCE  ON THE READING 
           SCALE (PISA)

      HUMAN DEVELOPMENT INDEX

  GLOBAL COMPETITIVENESS INDEX

         DOING BUSINESS INDEX

Green =  indicator available; Yellow = proxy/partial indicator available; Red = missing data.
DATA COLLECTION – TORINO PROCESS 2010
•   High data coverage in case of labour market and
    socio-economic indicators

•   Gaps in case of education data - especially VET
    and adult learning

•   Comparability issues raised
     a) the reference population used in the case of
    labour market indicators
     b) the compliance of education levels with
    ISCED classification
TORINO PROCESS 2012 – statistical 
component
Goals:

•   To collect a restricted list of indicators with basic
    data on labour market, education and socio-
    economic context;

•   To reflect the ‘real’ data availability and gaps;

•   To reflect on ‘how’ to overcome the gaps and
    enhance mutual learning and cooperation.
TORINO PROCESS 2012 – feedback from 
countries – Bosnia and Herzegovina

STRONG POINTS

•   During TP 2010 and 2012 data collections, detailed and
    updated data on labour market were found.

OPPORTUNITIES

•   According to the country feedback - education data
    available from the Agency of Statistics (incl. drop out rates,
    no. of VET students, no. of VET students continuing to
    higher levels of education etc.)
TORINO PROCESS 2012 – feedback from 
countries – Turkey

STRONG POINTS


•   During TP 2010 and 2012 data collections, detailed data on
    both education and labour market found (no significant
    gaps).


•   The data availability overview received from the country
    confirms such a panorama.
TORINO PROCESS 2012 – feedback from 
countries – Serbia
STRONG POINTS

•   During TP 2010 and 2012 data collections, we obtained a quite
    good coverage of data for both education and labour market (no
    significant gaps).

•   Data availability received from the country confirms such a
    panorama.

According to the country feedback:
• LM data are often available also by education level;
• there are a lot of data for education;
• data are updated (usually they refer to 2010).
TORINO PROCESS 2012 – feedback from 
countries – Croatia
STRONG POINTS

•   During TP 2010 and 2012 data collections, detailed data on labour
    market indicators found, while some gaps for education data were
    identified.

OPPORTUNITIES
•   According to the country feedback - education data available from
    the Ministry of Science, Education and Sports (incl. drop out
    rates, early school leavers, no. of VET students, expenditure on
    education etc.)
TORINO PROCESS 2012 – feedback from 
countries – Albania

STRONG POINTS

•   During the TP 2010 and 2012 data collections,
    detailed, but not updated, information on labour
    market and socio-demographic characteristics
    were found.

•   Education data available (i.e. expenditure on
    education), although some gaps were identified.
CONCLUSION 
•   More data available than reflected in Torino
    Process 2010, especially in the field of education;

•   Gaps still exist – especially for detailed data on
    VET and adult education;

•   Sometimes, data are not regularly updated;

•   Comparability issues – different education
    classifications are used.
CONCLUSION – remaining questions
•   How to improve the data availability?

•   How can the education data which exist in the
    countries be better used?

•   How to improve the data sharing among
    institutions?

•   How to learn from each other and cooperate with
    regard to the data availability?
                    Next Steps
ETF  is  now  engaged  in  dialogues  with  all  of  its  partner 
countries  on  how national evidence bases  can  be 
                                          bases
strengthened and better used for policy making. 

The  manual  is  intended  as  an  introduction  to  indicators 
and provides a general overview of their use. 

We  are  here  to  learn  from  te  discussions  of  country 
examples
      29
 Thank you for your attention!



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